Bechiri and Lanasri [2026]

End-to-end speech-to-speech conversational system for Algerian Dialect using modular NLP pipeline

Researchers present Dziri Voicebot, a modular speech-to-speech conversational system targeting Algerian Dialect, a low-resource language with codeswitching and orthographic challenges. The pipeline integrates Whisper-based ASR, transformer NLU, retrieval-augmented generation, and neural TTS, with dedicated datasets constructed for the telecom domain. The system reports low word error rate, high intent classification scores, and stable TTS quality, offering a reproducible baseline for low-resource dialectal conversational AI.